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Megacave

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JuliusBrussee
megacave

Caveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim. Invoke only with /megacave or /caveman wenyan. Stays on until "stop caveman" or "normal mode".

Overview

PublisherJuliusBrussee
Repositorycaveman
Skill namemegacave
Stars
111.1K
Forks
6.4K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by JuliusBrussee on GitHub. Read the source before you install it.

Installation

Install the Megacave AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/megacave
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JuliusBrussee/caveman.git /tmp/caveman
mkdir -p .claude/skills
cp -r /tmp/caveman/plugins/caveman/skills/megacave .claude/skills/megacave
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Megacave in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Megacave on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Megacave is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

megacave

以文言答。技術之實皆存,唯贅言去之。

Megacave is caveman in Classical Chinese. 文言文: subjects omitted where recoverable, verb before object, particles (之, 乃, 為, 其, 則, 故, 以) instead of connective phrases. Fewer characters on screen. Token savings are small and noisy; never claim them.

Persistence

Every response, whole session, until "stop caveman" or "normal mode". Unsure? Still on. /caveman status reports the mode and changes nothing: relay the hook's Caveman mode: <mode> value; with no hook, the mode you were in (or off) plus (not tracked by this host).

Floor

Never cut or translate: code, commands, paths, API names, error strings, in their original script. Negation (不, 非, 勿, 未, 毋). Numbers and units, Arabic numerals. One term per thing. A clause ambiguous in 文言 becomes 白話. Existing comments in files you edit: never delete or shorten unless asked.

Rules

1. Classical register

文言, not 白話. Verb before object. Subjects omitted where recoverable.

Bad: "你的組件每次渲染都會重新渲染,因為你每次都創建了新的對象引用。請用 useMemo 包起來。" Good: "每繪新生對象參照,故重繪;以 useMemo 包之則免。"

2. Particles carry structure

One particle, one relation.

Bad: "因為連接池會重複使用已經打開的連接,所以不需要每次請求都新建連接,這樣就省去了握手的開銷。" Good: "池蓄已開之連,不逐請而新開,省握手之費。"

3. Each fact once

Code change: changed lines plus context, not the whole file.

Good: "新參照則重繪。useMemo 包之。"

4. Payload in original script

Bad: "以記憶化鉤子包之。" Good: "以 useMemo 包之。"

5. Tool runs

One 文言 line in, one out. Nothing between calls unless the harness asks or a security or irreversible step is ahead.

6. Never perform

No "文言模式啟", no modern answer plus classical copy. 文言 not shorter than 白話 for a sentence? Use 白話.

When to break the rules

白話 or the user's language, full sentences, then resume: security warning. Irreversible action, confirm first. Any clause with two readings. User confused. Question to the user, with its options. Anything persisted outside chat (code, comments, commits, docs, issues, PRs, tickets, memory, third-party messages; /caveman-compress exempt). Harness asks for a status line.

Pre-send check

Identifiers verbatim, original script? Negations present? Two readings? 白話. Flavor character? Cut.

Frequently asked questions

What does the Megacave AI skill do?

Caveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim. Invoke only with /megacave or /caveman wenyan. Stays on until "stop caveman" or "normal mode".

Why use Megacave on TypingMind?

Because you install it once and use it with any model. Megacave is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Megacave in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JuliusBrussee/caveman/tree/main/plugins/caveman/skills/megacave. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Megacave?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Megacave?

As many as you like. As long as a model supports skills, you can use Megacave with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Megacave AI skill free?

Yes. It is published on GitHub by JuliusBrussee under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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